Files
openpilot-evo/sunnypilot/modeld/transforms/transform.cc
T
Jason Wen acd46aa94b modeld: retain SNPE and thneed drive model support (#555)
* modeld: Retain pre-20hz drive model support

* Method not available anymore on OP

* some fixes

* Revert "Long planner get accel: new function args (#34288)"

* Revert "Fix low-speed allow_throttle behavior in long planner (#33894)"

* Revert "long planner: allow throttle reflects usage (#33792)"

* Revert "Gate acceleration on model gas press predictions (#33643)"

* Reapply "Gate acceleration on model gas press predictions (#33643)"

This reverts commit 76b08e37cb8eb94266ad9f6fed80db227e7c3428.

* Reapply "long planner: allow throttle reflects usage (#33792)"

This reverts commit c75244ca4e9c48084b0205b7c871e1a4e0f4e693.

* Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)"

This reverts commit b2b7d21b7b685a2785d1beede3d223f0bb954807.

* Reapply "Long planner get accel: new function args (#34288)"

This reverts commit 74dca2fccf4da59cc8ac62ba9c0ad10ba3fc264b.

* don't need

* retain snpe

* wrong

* they're symlinks

* remove

* put back into VCS

* add back

* don't include built

* Refactor model runner retrieval with caching support

Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions.

* Update model runner determination logic with caching fix

Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks.

* default to none

* enable in next PR

* more

---------

Co-authored-by: DevTekVE <devtekve@gmail.com>
2025-01-10 18:34:06 -05:00

98 lines
4.5 KiB
C++

#include "sunnypilot/modeld/transforms/transform.h"
#include <cassert>
#include <cstring>
#include "common/clutil.h"
void transform_init(Transform* s, cl_context ctx, cl_device_id device_id) {
memset(s, 0, sizeof(*s));
cl_program prg = cl_program_from_file(ctx, device_id, TRANSFORM_PATH, "");
s->krnl = CL_CHECK_ERR(clCreateKernel(prg, "warpPerspective", &err));
// done with this
CL_CHECK(clReleaseProgram(prg));
s->m_y_cl = CL_CHECK_ERR(clCreateBuffer(ctx, CL_MEM_READ_WRITE, 3*3*sizeof(float), NULL, &err));
s->m_uv_cl = CL_CHECK_ERR(clCreateBuffer(ctx, CL_MEM_READ_WRITE, 3*3*sizeof(float), NULL, &err));
}
void transform_destroy(Transform* s) {
CL_CHECK(clReleaseMemObject(s->m_y_cl));
CL_CHECK(clReleaseMemObject(s->m_uv_cl));
CL_CHECK(clReleaseKernel(s->krnl));
}
void transform_queue(Transform* s,
cl_command_queue q,
cl_mem in_yuv, int in_width, int in_height, int in_stride, int in_uv_offset,
cl_mem out_y, cl_mem out_u, cl_mem out_v,
int out_width, int out_height,
const mat3& projection) {
const int zero = 0;
// sampled using pixel center origin
// (because that's how fastcv and opencv does it)
mat3 projection_y = projection;
// in and out uv is half the size of y.
mat3 projection_uv = transform_scale_buffer(projection, 0.5);
CL_CHECK(clEnqueueWriteBuffer(q, s->m_y_cl, CL_TRUE, 0, 3*3*sizeof(float), (void*)projection_y.v, 0, NULL, NULL));
CL_CHECK(clEnqueueWriteBuffer(q, s->m_uv_cl, CL_TRUE, 0, 3*3*sizeof(float), (void*)projection_uv.v, 0, NULL, NULL));
const int in_y_width = in_width;
const int in_y_height = in_height;
const int in_y_px_stride = 1;
const int in_uv_width = in_width/2;
const int in_uv_height = in_height/2;
const int in_uv_px_stride = 2;
const int in_u_offset = in_uv_offset;
const int in_v_offset = in_uv_offset + 1;
const int out_y_width = out_width;
const int out_y_height = out_height;
const int out_uv_width = out_width/2;
const int out_uv_height = out_height/2;
CL_CHECK(clSetKernelArg(s->krnl, 0, sizeof(cl_mem), &in_yuv)); // src
CL_CHECK(clSetKernelArg(s->krnl, 1, sizeof(cl_int), &in_stride)); // src_row_stride
CL_CHECK(clSetKernelArg(s->krnl, 2, sizeof(cl_int), &in_y_px_stride)); // src_px_stride
CL_CHECK(clSetKernelArg(s->krnl, 3, sizeof(cl_int), &zero)); // src_offset
CL_CHECK(clSetKernelArg(s->krnl, 4, sizeof(cl_int), &in_y_height)); // src_rows
CL_CHECK(clSetKernelArg(s->krnl, 5, sizeof(cl_int), &in_y_width)); // src_cols
CL_CHECK(clSetKernelArg(s->krnl, 6, sizeof(cl_mem), &out_y)); // dst
CL_CHECK(clSetKernelArg(s->krnl, 7, sizeof(cl_int), &out_y_width)); // dst_row_stride
CL_CHECK(clSetKernelArg(s->krnl, 8, sizeof(cl_int), &zero)); // dst_offset
CL_CHECK(clSetKernelArg(s->krnl, 9, sizeof(cl_int), &out_y_height)); // dst_rows
CL_CHECK(clSetKernelArg(s->krnl, 10, sizeof(cl_int), &out_y_width)); // dst_cols
CL_CHECK(clSetKernelArg(s->krnl, 11, sizeof(cl_mem), &s->m_y_cl)); // M
const size_t work_size_y[2] = {(size_t)out_y_width, (size_t)out_y_height};
CL_CHECK(clEnqueueNDRangeKernel(q, s->krnl, 2, NULL,
(const size_t*)&work_size_y, NULL, 0, 0, NULL));
const size_t work_size_uv[2] = {(size_t)out_uv_width, (size_t)out_uv_height};
CL_CHECK(clSetKernelArg(s->krnl, 2, sizeof(cl_int), &in_uv_px_stride)); // src_px_stride
CL_CHECK(clSetKernelArg(s->krnl, 3, sizeof(cl_int), &in_u_offset)); // src_offset
CL_CHECK(clSetKernelArg(s->krnl, 4, sizeof(cl_int), &in_uv_height)); // src_rows
CL_CHECK(clSetKernelArg(s->krnl, 5, sizeof(cl_int), &in_uv_width)); // src_cols
CL_CHECK(clSetKernelArg(s->krnl, 6, sizeof(cl_mem), &out_u)); // dst
CL_CHECK(clSetKernelArg(s->krnl, 7, sizeof(cl_int), &out_uv_width)); // dst_row_stride
CL_CHECK(clSetKernelArg(s->krnl, 8, sizeof(cl_int), &zero)); // dst_offset
CL_CHECK(clSetKernelArg(s->krnl, 9, sizeof(cl_int), &out_uv_height)); // dst_rows
CL_CHECK(clSetKernelArg(s->krnl, 10, sizeof(cl_int), &out_uv_width)); // dst_cols
CL_CHECK(clSetKernelArg(s->krnl, 11, sizeof(cl_mem), &s->m_uv_cl)); // M
CL_CHECK(clEnqueueNDRangeKernel(q, s->krnl, 2, NULL,
(const size_t*)&work_size_uv, NULL, 0, 0, NULL));
CL_CHECK(clSetKernelArg(s->krnl, 3, sizeof(cl_int), &in_v_offset)); // src_ofset
CL_CHECK(clSetKernelArg(s->krnl, 6, sizeof(cl_mem), &out_v)); // dst
CL_CHECK(clEnqueueNDRangeKernel(q, s->krnl, 2, NULL,
(const size_t*)&work_size_uv, NULL, 0, 0, NULL));
}